Mireille
El Gheche

Profile

Mireille received a master’s degree in radio communication from Centrale Supélec and a Ph.D. degree in signal and image processing from Université Gustave Eiffel. From January 2015 until August 2017, she was a postdoctoral researcher at the IMS and IMB laboratories, Université de Bordeaux, where she worked on optimization methods for image super-resolution, denoising, and reconstruction. From November 2017 until January 2021, she was a postdoctoral researcher at École Polytechnique Fédérale de Lausanne (Switzerland), where she worked on computational problems in graph theory using machine learning approaches. Since February 2021, she has been a senior research scientist at Sony AI, Zurich.

Message

"Our work is carried out within the framework of creating new AI technologies to enrich people's lifestyles. I do find my own purpose in Sony AI’s and I am looking forward to building AI that is globally impactful."

Publications

Distributed Graph Learning with Smooth Priors

ICASSP, 2022
Isabela Cunha Maia Nobre*, Mireille El Gheche, Pascal Frossard*

Graph learning is often a necessary step in processing or representing structured data, when the underlying graph is not given explicitly. Graph learning is generally performed centrally with a full knowledge of the graph signals, namely the data that lives on the graph node…

Wasserstein-based Graph Alignment

TSPIN, 2022
Hermina Petric Maretic*, Mireille El Gheche, Giovanni Chierchia*, Pascal Frossard*

We propose a novel method for comparing non-aligned graphs of different sizes, based on the Wasserstein distance between graph signal distributions induced by the respective graph Laplacian matrices. Specifically, we cast a new formulation for the one-to-many graph alignment…

fGOT: Graph Distances based on Filters and Optimal Transport

AAAI, 2022
Hermina Petric Maretic*, Mireille El Gheche, Giovanni Chierchia*, Pascal Frossard*

Graph comparison deals with identifying similarities and dissimilarities between graphs. A major obstacle is the unknown alignment of graphs, as well as the lack of accurate and inexpensive comparison metrics. In this work we introduce the filter graph distance. It is an opt…

Blog

March 29, 2024 | Life at Sony AI

Celebrating the Women of Sony AI: Sharing Insights, Inspiration, and Advice

In March, the world commemorates the accomplishments of women throughout history and celebrates those of today. The United States observes March as Women’s History Month, while many countries around the globe observe International…

In March, the world commemorates the accomplishments of women throughout history and celebrates those of today. The United States …

January 25, 2022 | Life at Sony AI

Meet the Team #3: Mireille, Fred and Thomas

Meet Mireille, Fred and Thomas, three team members passionate about machine learning, AI and robotics, and dedicated to our mission of unleashing human imagination and creativity through AI.Mireille El GhecheSenior Research Scient…

Meet Mireille, Fred and Thomas, three team members passionate about machine learning, AI and robotics, and dedicated to our missio…

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